23 template<
typename FactoryType, armnn::DataType ArmnnType,
typename T = armnn::ResolveType<ArmnnType>>
34 if (armnn::IsQuantizedType<T>())
37 inputTensorInfo.SetQuantizationOffset(128);
38 alphaTensorInfo.SetQuantizationScale(0.25f);
39 alphaTensorInfo.SetQuantizationOffset(50);
40 outputTensorInfo.SetQuantizationScale(0.5f);
41 outputTensorInfo.SetQuantizationOffset(120);
44 std::vector<float> inputData
48 0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, -1.0f, -1.0f, -1.0f, -2.0f, -2.0f, -2.0f
50 std::vector<float> alphaData
56 std::vector<float> outputExpectedData =
60 0.0f, 0.0f, 0.0f, 1.0f, 1.0f, 1.0f, 0.0f, -1.0f, -2.0f, 0.0f, -2.0f, -4.0f
63 auto input = MakeTensor<T, 4>(inputTensorInfo,
64 armnnUtils::QuantizedVector<T>(inputData,
65 inputTensorInfo.GetQuantizationScale(),
66 inputTensorInfo.GetQuantizationOffset()));
68 auto alpha = MakeTensor<T, 4>(alphaTensorInfo,
69 armnnUtils::QuantizedVector<T>(alphaData,
70 alphaTensorInfo.GetQuantizationScale(),
71 alphaTensorInfo.GetQuantizationOffset()));
75 MakeTensor<T, 4>(outputTensorInfo,
76 armnnUtils::QuantizedVector<T>(outputExpectedData,
77 outputTensorInfo.GetQuantizationScale(),
78 outputTensorInfo.GetQuantizationOffset()));
80 auto tensorHandleFactory = WorkloadFactoryHelper<FactoryType>::GetTensorHandleFactory(memoryManager);
81 std::unique_ptr <armnn::ITensorHandle> inputHandle = tensorHandleFactory.CreateTensorHandle(inputTensorInfo);
82 std::unique_ptr <armnn::ITensorHandle> alphaHandle = tensorHandleFactory.CreateTensorHandle(alphaTensorInfo);
83 std::unique_ptr <armnn::ITensorHandle> outputHandle = tensorHandleFactory.CreateTensorHandle(outputTensorInfo);
87 AddInputToWorkload (descriptor, info, inputTensorInfo, inputHandle.get());
88 AddInputToWorkload (descriptor, info, alphaTensorInfo, alphaHandle.get());
89 AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());
91 std::unique_ptr<armnn::IWorkload> workload = workloadFactory.
CreatePrelu(descriptor, info);
93 inputHandle->Allocate();
94 alphaHandle->Allocate();
95 outputHandle->Allocate();
boost::multi_array< T, n > outputExpected
void IgnoreUnused(Ts &&...)
std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr
void SetQuantizationScale(float scale)
LayerTestResult< T, 4 > PreluTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)
void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)
boost::multi_array< T, n > output
Contains information about inputs and outputs to a layer.
void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)
virtual std::unique_ptr< IWorkload > CreatePrelu(const PreluQueueDescriptor &descriptor, const WorkloadInfo &info) const